Kimito Kawahata

1.8k total citations
82 papers, 1.3k citations indexed

About

Kimito Kawahata is a scholar working on Rheumatology, Immunology and Epidemiology. According to data from OpenAlex, Kimito Kawahata has authored 82 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Rheumatology, 27 papers in Immunology and 18 papers in Epidemiology. Recurrent topics in Kimito Kawahata's work include Inflammatory Myopathies and Dermatomyositis (14 papers), Systemic Lupus Erythematosus Research (12 papers) and T-cell and B-cell Immunology (11 papers). Kimito Kawahata is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (14 papers), Systemic Lupus Erythematosus Research (12 papers) and T-cell and B-cell Immunology (11 papers). Kimito Kawahata collaborates with scholars based in Japan, United States and Czechia. Kimito Kawahata's co-authors include Kazuhiko Yamamoto, Yoshikata Misaki, Keigo Setoguchi, Jun‐ichi Miyazaki, Hitoshi Kohsaka, Nobuyuki Miyasaka, Takashi Kadowaki, Keishi Fujio, Yasuo Terauchi and Toshimasa Yamauchi and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Kimito Kawahata

77 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kimito Kawahata Japan 18 584 320 259 181 167 82 1.3k
Themis Alissafi Greece 18 751 1.3× 313 1.0× 184 0.7× 222 1.2× 162 1.0× 25 1.3k
Laura Tesmer United States 8 947 1.6× 322 1.0× 385 1.5× 217 1.2× 114 0.7× 9 1.6k
Hirahito Endo Japan 24 387 0.7× 407 1.3× 302 1.2× 218 1.2× 257 1.5× 59 1.6k
Tsan‐Teng Ou Taiwan 16 409 0.7× 246 0.8× 344 1.3× 164 0.9× 80 0.5× 59 997
Ghada Alsaleh France 22 533 0.9× 824 2.6× 302 1.2× 191 1.1× 214 1.3× 36 1.8k
Tsuyoshi Iwasaki Japan 24 538 0.9× 597 1.9× 136 0.5× 207 1.1× 167 1.0× 81 1.6k
Yin Su China 17 485 0.8× 243 0.8× 406 1.6× 99 0.5× 113 0.7× 53 1.0k
Marianne Engström Sweden 18 374 0.6× 327 1.0× 669 2.6× 149 0.8× 132 0.8× 34 1.5k
Gabriel Criado Spain 23 770 1.3× 484 1.5× 323 1.2× 287 1.6× 82 0.5× 48 1.6k
Damián Maseda United States 18 652 1.1× 353 1.1× 216 0.8× 211 1.2× 96 0.6× 23 1.3k

Countries citing papers authored by Kimito Kawahata

Since Specialization
Citations

This map shows the geographic impact of Kimito Kawahata's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kimito Kawahata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimito Kawahata more than expected).

Fields of papers citing papers by Kimito Kawahata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimito Kawahata. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kimito Kawahata. The network helps show where Kimito Kawahata may publish in the future.

Co-authorship network of co-authors of Kimito Kawahata

This figure shows the co-authorship network connecting the top 25 collaborators of Kimito Kawahata. A scholar is included among the top collaborators of Kimito Kawahata based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kimito Kawahata. Kimito Kawahata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nagafuchi, Hiroko, et al.. (2025). Enthesitis in patients with Behçet’s disease: A single-centre retrospective cohort study in Japan. Modern Rheumatology. 35(6). 1030–1034.
2.
Nakahara, Hideko, Yukitomo Urata, Kimito Kawahata, et al.. (2024). Challenges nurses face in providing care to older patients with rheumatoid arthritis: A qualitative study. Modern Rheumatology. 35(2). 256–264. 1 indexed citations
3.
Takahashi, H., Ryochi Yoshida, M Nakano, et al.. (2024). Age-associated CD4 + T cells with B cell–promoting functions are regulated by ZEB2 in autoimmunity. Science Immunology. 9(93). eadk1643–eadk1643. 21 indexed citations
4.
Mineshita, Masamichi, Hiroshi Handa, Takeo Inoue, et al.. (2024). 90-Day outcomes in patients with severe COVID-19 pneumonia treated with invasive mechanical ventilation. Journal of Infection and Chemotherapy. 31(2). 102529–102529.
5.
Nakahara, Hideko, Takako Miyamae, Masaaki Mori, et al.. (2024). Challenges nurses face in providing care for patients with juvenile idiopathic arthritis. Modern Rheumatology. 35(1). 185–193. 1 indexed citations
6.
Nakahara, Hideko, Yukitomo Urata, Kimito Kawahata, et al.. (2023). Challenges faced by nurses engaged in rheumatology care in Japan. Modern Rheumatology. 34(4). 711–719. 2 indexed citations
7.
Ooka, Seido, Shin Matsuoka, Hayato Tomita, et al.. (2022). Predicting the aggravation of coronavirus disease-19 pneumonia using chest computed tomography scans. PLoS ONE. 17(11). e0276738–e0276738. 1 indexed citations
8.
Nagafuchi, Hiroko, et al.. (2021). Pregnancy outcomes in patients with rheumatoid arthritis who discontinue methotrexate treatment to conceive. Clinical Rheumatology. 41(3). 669–675. 1 indexed citations
9.
Tsuchida, Tomoya, Shotaro Suzuki, Yuko Komase, et al.. (2021). Back to normal; serological testing for COVID‐19 diagnosis unveils missed infections. Journal of Medical Virology. 93(7). 4549–4552. 5 indexed citations
10.
Ooka, Seido, et al.. (2019). <p>Anti-IL-10 antibody in systemic lupus erythematosus</p>. Open Access Rheumatology Research and Reviews. Volume 11. 61–65. 9 indexed citations
11.
Okazaki, Takahiro, Kazuo Yudoh, Yaz Y. Kisanuki, et al.. (2017). T cells upon activation promote endothelin 1 production in monocytes via IFN-γ and TNF-α. Scientific Reports. 7(1). 14500–14500. 22 indexed citations
12.
Kimura, Naoki, et al.. (2017). Discoid Lupus Erythematosus Complicated with Pregnancy-induced Hemophagocytic Syndrome. Internal Medicine. 56(12). 1581–1583. 4 indexed citations
13.
Kawahata, Kimito, et al.. (2016). Interferon‐γ, but Not Interleukin‐4, Suppresses Experimental Polymyositis. Arthritis & Rheumatology. 68(6). 1505–1510. 8 indexed citations
14.
Imamura, Mitsuru, Katsuhide Okunishi, Kazuyuki Nakagome, et al.. (2013). Perillyl alcohol suppresses antigen-induced immune responses in the lung. Biochemical and Biophysical Research Communications. 443(1). 266–271. 10 indexed citations
15.
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17.
Setoguchi, Keigo, Yoshikata Misaki, Yasuo Terauchi, et al.. (2001). Peroxisome proliferator-activated receptor-γ haploinsufficiency enhances B cell proliferative responses and exacerbates experimentally induced arthritis. Journal of Clinical Investigation. 108(11). 1667–1675. 109 indexed citations
18.
Setoguchi, Keigo, Yoshikata Misaki, Yasuo Terauchi, et al.. (2001). Peroxisome proliferator-activated receptor-γ haploinsufficiency enhances B cell proliferative responses and exacerbates experimentally induced arthritis. Journal of Clinical Investigation. 108(11). 1667–1675. 11 indexed citations
19.
Setoguchi, Keigo, Yoshikata Misaki, Yasuto Araki, et al.. (2000). Antigen-Specific T Cells Transduced with IL-10 Ameliorate Experimentally Induced Arthritis Without Impairing the Systemic Immune Response to the Antigen. The Journal of Immunology. 165(10). 5980–5986. 36 indexed citations
20.
Fujio, Keishi, Yoshikata Misaki, Keigo Setoguchi, et al.. (2000). Functional Reconstitution of Class II MHC-Restricted T Cell Immunity Mediated by Retroviral Transfer of the αβ TCR Complex. The Journal of Immunology. 165(1). 528–532. 72 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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